Main Article Content

Abstract

Introduction: Bias means an unreasoned and unfair distortion of judgment in favour of or against a person or thing. It is the evaluation of something or someone that can be positive or negative, and implicit or unconscious bias is when the person is unaware of their evaluation. Unconscious or implicit bias describes associations or attitudes that reflexively alter our perceptions, there by affecting behaviour, interaction, and decision-making Methods: This study qualitative cross-sectional study design is used. Implicit Assessment Tool (IAT) used to assess the age Implicit, Religion Implicit and Skin tone Implicit among nurses. The data was analysed by SPSS version-18 & Microsoft Excel.  Out of 100 respondent 23% showed a strong automatic preference for light skin compared to dark skin people in Skin-tone IAT. Results: Out 0f 100 just 2% showed strong automatic preference for dark skin as compared to light skin people. During the Religion IAT out of 100 respondents just 1% nurses showed a strong preference for Judaism compared to Islam. 96.0% showed strong automatic preferences for Islam compared to Judaism. 29 % respondents showed a strong automatic preference for Islam compared to Christianity. While 2% participants showed a strong preference for Christianity compared to Islam. In Age implicit assessment test 30% nurses showed strong automatic preference for young people to old people. Just 1 % nurses showed strong automatic preference for old people compared to young people. 30 % nurses showed moderate level of automatic preferences for young people as compared to old people, while just 2 % have moderate automatic preference for old people as compared to young people. Conclusion: This study concluded that Nurses have a strong automatic preference towards their own religion so that they prefer Muslim patients unconsciously rather than the other religion. This study also reveal that during giving care nurses have strong automatic preference to young people and light skinned people as compared to dark skinned and old people.


 

Article Details

Author Biographies

Tahira Perveen, College of Nursing, Nishtar Medical University Multan, Pakistan

 

 

 

Kalsoom Nazar, Nursing Superintendent, Dental Department, Nishtar Medical University Multan, Pakistan



 

How to Cite
Leghari, S. Y., Perveen, T., & Nazar, K. (2023). Implicit Bias in Health Care Providers During Providing Health Care Services to Patients in A Tertiary Care Hospital South Punjab Pakistan. Basic and Applied Nursing Research Journal, 4(1), 40-46. https://doi.org/10.11594/banrj.04.01.06

References

1. Santry, H. P., & Wren, S. M. (2012). The Role of Unconscious Bias in Surgical Safety and Outcomes. Surgical Clinics of North America, 92(1), 137–151. https://doi.org/10.1016/j.suc.2011.11.006
2. Blair, I. V, Steiner, J. F., & Havranek, E. P. (2011). Unconscious (Implicit) Bias and Health Disparities: Where Do We Go from Here? The Permanente Journal, 15(2), 71–78. https://doi.org/10.7812/TPP/11.979
3. Holroyd, J., & Sweetman, J. (2016). The Heterogeneity of Implicit Bias. In Implicit Bias and Philosophy, Volume 1 (pp. 80–103). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198713241.003.0004
4. Nopita Wati, N. M., Juanamasta, I. G., Thongsalab, J., & Yunibhand, J. (2023). Strategies and challenges in addressing ethical issues in the hospital context: A phenomenological study of nurse team leaders. Belitung Nursing Journal, 9(2). https://doi.org/10.33546/bnj.2446
5. FitzGerald, C., & Hurst, S. (2017). Implicit bias in healthcare professionals: a systematic review. BMC Medical Ethics, 18(1), 19. https://doi.org/10.1186/s12910-017-0179-8
6. Gopal, D. P., Chetty, U., O’Donnell, P., Gajria, C., & Blackadder-Weinstein, J. (2021). Implicit bias in healthcare: clinical practice, research and decision making. Future Healthcare Journal, 8(1), 40–48. https://doi.org/10.7861/fhj.2020-0233
7. Wilson, T. D., Lindsey, S., & Schooler, T. Y. (2000). A model of dual attitudes. Psychological Review, 107(1), 101–126. https://doi.org/10.1037/0033-295X.107.1.101
8. Juanamasta, I. G., Aungsuroch, Y., Gunawan, J., & Fisher, M. L. (2022). Postgraduate and undergraduate student nurses’ well-being: A scoping review. Journal of Professional Nursing, 40, 57–65. https://doi.org/10.1016/j.profnurs.2022.03.001
9. Hall, W. J., Chapman, M. V., Lee, K. M., Merino, Y. M., Thomas, T. W., Payne, B. K., Eng, E., Day, S. H., & Coyne-Beasley, T. (2015). Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review. American Journal of Public Health, 105(12), e60–e76. https://doi.org/10.2105/AJPH.2015.302903
10. Nuryani, S. N. A., Wati, N. M. N., & Juanamasta, I. G. (2020). Nursing grand rounds (NGRS) regularly to encourage continuing professional development (CPD) achievement of nurses. Pakistan Journal of Medical and Health Sciences, 14(4), 1616–1618.
11. Indriyani, D., Juanamasta, I. G., Indah, F. P., Hartika, & Budi, A. (2020). The Influence of Empowerment and Compensation Towards The Work Productivity of Nurse and Midwife in The Faisal Islamic Hospital of Makassar. International Journal of Psychosocial Rehabilitation, 24(4), 5616–5623. https://doi.org/10.37200/IJPR/V24I4/PR201656
12. Juanamasta, I. G., Kusnanto, & Yuwono, S. R. (2018). Improving Nurse Productivity Through Professionalism Self-Concept. Proceedings of the 9th International Nursing Conference, 116–120. https://doi.org/10.5220/0008321401160120
13. Lovallo, D., & Sibony, O. (2010). The case for behavioral strategy. McKinsey Quarterly. https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/the-case-for-behavioral-strategy
14. Harvard University. (n.d.). Project Implicit. Retrieved June 20, 2020, from https://implicit.harvard.edu/implicit/takeatest.html
15. Manns-James, L. (2015). Finding what is hidden: a method to measure implicit attitudes for nursing and health-related behaviours. Journal of Advanced Nursing, 71(5), 1005–1018. https://doi.org/10.1111/jan.12626
16. Ansell, D. A., & McDonald, E. K. (2015). Bias, Black Lives, and Academic Medicine. New England Journal of Medicine, 372(12), 1087–1089. https://doi.org/10.1056/NEJMp1500832
17. Song, J. (2019). “She Needs to Be Shy!”: Gender, Culture, and Nonparticipation Among Saudi Arabian Female Students. TESOL Quarterly, 53(2), 405–429. https://doi.org/10.1002/tesq.488
18. Abalkhail, J. M. (2020). Women managing women: hierarchical relationships and career impact. Career Development International, 25(4), 389–413. https://doi.org/10.1108/CDI-01-2019-0020